Improving Spatial Resolution of Multispectral Rock Outcrop Images Using RGB Data and Artificial Neural Networks

Improving Spatial Resolution of Multispectral Rock Outcrop Images Using RGB Data and Artificial Neural Networks

Spectral information provided by multispectral and hyperspectral sensors has a great impact on remote sensing studies, easing the identification of carbonate outcrops that contribute to a better understanding of petroleum reservoirs. Sensors aboard satellites like Landsat series, which have data fre...

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Bibliographic Details
Main Authors: Ademir Marques Junior, Eniuce Menezes de Souza, Marianne Müller, Diego Brum, Daniel Capella Zanotta, Rafael Kenji Horota, Lucas Silveira Kupssinskü, Maurício Roberto Veronez, Luiz Gonzaga, Caroline Lessio Cazarin
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
Landsat
high resolution
prediction
multispectral
artificial neural network
Super-Resolution
Online Access:https://www.mdpi.com/1424-8220/20/12/3559

Internet

https://www.mdpi.com/1424-8220/20/12/3559

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